数字基础设施对要素市场配置的影响研究OACHSSCD
The Impact of Digital Infrastructure on Factor Market Allocation
提升要素市场配置效率是推动经济高质量发展与建设全国统一大市场的关键.本文以"宽带中国"示范城市(城市群)创建为准自然实验,选取2012-2023年中国275个地级及以上城市的面板数据,运用双重机器学习方法,实证考察了数字基础设施建设对要素市场配置效率的影响及其作用机制.研究发现:数字基础设施建设能够提升要素市场配置效率,有效缓解资本、劳动及整体市场的扭曲程度;其作用主要通过增强城市创新能力、优化就业结构与促进数字金融发展三条路径实现.此外,数字基础设施建设的影响效应在非资源型城市、非老工业基地城市以及经济发达地区更为明显.本研究为理解数字技术如何优化要素市场配置、促进区域协调发展提供了经验证据与政策启示.
For a long time,China's factor markets have been characterized by pronounced allocation distor-tions and regional segmentation.These distortions hinder the efficient reallocation of production factors from low-productivity to high-productivity sectors,resulting in substantial efficiency losses due to resource misallocation.This has become a fundamental constraint on the development of a unified national market and high-quality econom-ic growth.Against this backdrop,the rapid expansion and diffusion of digital infrastructure provide new technologi-cal pathways for alleviating factor market distortions and optimizing resource allocation. This study takes the"Broadband China"pilot city policy as a quasi-natural experiment.Using panel data from 275 prefecture-level and above cities in China from 2012 to 2023,and applying a double machine learning ap-proach,this study systematically examines the impact of digital infrastructure development on factor allocation effi-ciency and its underlying mechanisms.Factor allocation efficiency and distortion are measured across three dimen-sions-capital,labor,and the overall market-while the transmission channels and heterogeneous effects are further explored. The results show that digital infrastructure development significantly improves factor allocation efficiency and effectively alleviates distortions in capital,labor,and the overall market.Mechanism analysis indicates that digital infrastructure promotes factor allocation efficiency through three main channels.First,it enhances urban innovation capacity,including overall innovation output and green technology innovation.Second,it optimizes the labor mar-ket structure by expanding employment scale and improving job quality.Third,it facilitates the development of dig-ital finance,thereby broadening the scope of financial services and improving capital allocation efficiency.The re-gression coefficients for all three channels are significantly positive,confirming the effectiveness of the transmission mechanisms. Heterogeneity analysis further shows that the effects of digital infrastructure on factor allocation are more pro-nounced in non-resource-based cities,non-traditional industrial bases,and economically developed regions,indica-ting that the effects are significantly moderated by urban resource endowments,institutional environments,and technological absorption capacity. This study integrates digital infrastructure and factor market allocation into a unified analytical framework.Based on a nationwide city-level sample and a quasi-natural experiment design,it provides robust micro-level evi-dence for understanding how digital technologies alleviate factor distortions and promote coordinated regional devel-opment.In addition,this study identifies three key transmission channels,namely,innovation capacity,labor mar-ket structure,and digital finance,and clarifies the boundary conditions under which these effects operate,offering important policy implications for advancing market-oriented factor reforms and designing a differentiated policy framework.
田新豹;王欣然
山西大学 经济与管理学院,山西 太原 030006山西大学 经济与管理学院,山西 太原 030006
管理科学
数字基础设施要素市场配置效率"宽带中国"双重机器学习要素扭曲
digital infrastructurefactor market allocation efficiencyBroadband Chinadouble machine learningfactor distortion
《首都经济贸易大学学报》 2026 (3)
58-70,13
国家社会科学基金一般项目"'双碳'目标与数字经济双驱动下煤炭资源型区域能源转型的机制与路径研究"(23JLB00225)
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